A complete framework for taking an enterprise from first principles to AI in production, with the instruments filled in and a 21-tab model that does the arithmetic and indexes every page.
Most AI strategy material explains the technology. This one assumes you can hire that and solves the harder problem: deciding which uses are worth doing, proving it to a finance function, and getting the organization to actually change a process. Twelve parts, 555 slides of template body, three fully worked examples, and a working Excel model.
The twelve parts: value mechanisms; readiness diagnostic; opportunity portfolio; business case and ROI; operating model and talent; data and technology foundations; build, buy or partner; governance, risk and compliance; change and adoption; the twelve month roadmap; six sector playbooks; and the consultant's toolkit.
The instruments are the product. A six dimension readiness diagnostic with twenty four scored sub criteria and an evidence rule. A five gate screen that removes two thirds of a long list in about ten minutes a candidate. A sizing method built on four sourced numbers. A six criteria portfolio ranking with a cut line drawn by delivery capacity rather than by score. A twelve line cost taxonomy, a benefit structure with three compounding lags, and break even conditions stated as testable thresholds. A decision rights table, a data gap register, a vendor scorecard, an obligation register, a control set, an adoption funnel and a roadmap with gate conditions and funding tranches.
Part Twelve is the part you will use most: seven interview guides with the questions written out, five workshop designs with time boxes and participant lists, six checklists, nine artifact templates, and three engagement calendars at three, eight and twelve weeks.
Three fully worked illustrative examples run the method end to end on three different constraints rather than three industries. A mid-size insurer where governance is mature and process ownership is the constraint. A regional utility where the data looks abundant and turns out to be unusable. A public agency where procurement is the critical path and the benefit cannot be taken as cash. Every figure in them is labeled illustrative.
The companion workbook is not a summary tab. Eighteen working tabs compute the readiness profile and the binding constraint, the portfolio screen and ranking, the full cost and benefit structure, NPV, IRR, payback, the break even capture rate, a five by five risk grid with return on mitigation, and a task plan with a completion dashboard. Inputs are yellow and everything else is calculated, so a reviewer can see in one pass what is judgment and what is arithmetic.
Three further tabs index the deck itself. A parts map showing where each of the eighteen blocks begins and ends, a filterable index of all 700 pages with the layout and exhibit form each one uses, and an index of every exhibit form with how often it appears and the first page that shows it. On a 700 page document that is the difference between owning it and being able to use it.
Two things this file does that comparable templates do not. Every chart is a native, editable PowerPoint chart object with its data inside the file, including the Gantt charts and the waterfalls, so there is nothing to install and nothing to redraw. And the workbook is verified rather than asserted: 360 formulas, zero errors, a cash flow reconciliation that must read zero, and a status dashboard that totals exactly 100 percent because every status counts the same row range.
Built by an independent research firm. No client data, no engagement records and no performance claims appear anywhere in this file.
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Source: Best Practices in Artificial Intelligence PowerPoint Slides: AI Strategy Playbook: 700-Slide Framework ROI Model PowerPoint (PPTX) Presentation Slide Deck, Advanced Analytics
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